Ai is becoming very prevalent these days. To some it’s a tool to get answers from, to others it’s a place to get things done faster, but what really is it all about? How does it work?
We’ll explore this and more in this article, Generally today the most common type of Ai is the generative AI. It's the most widely used type of ai, that we know and use, but how does it work?
Imagine this scenario, you know of a highly talented Artist, that makes very beautiful and amazing designs and paintings, he has been doing it for a very long time and has gained experience in it. He has painted many designs, whether it’s landscapes, portraits, or abstract art. He is very good at it. Then you come to him, and ask him to make you a painting of a cat wearing sunglasses on a beach?, and you describe what the scenery is like to him
He is not just Going to Make something up. Instead, he remembers the many cat paintings, beach landscapes, and images of sunglasses he's drawn or worked with in the past. Now based on all that knowledge, and from his experience he comes up with a unique painting that matches what you asked for
In this scenario , the artist is like a Generative AI Model, and the paintings they create are new content that the ai models give back to us —whether that’s text, images, or music. The AI has been trained on a large amount of data (like the artist's experience) and can generate new things based on that learning,and training
Breaking It Down
Generative AI learns from examples, in the same way that the artist makes a painting from his vast amount of knowledge and experience, Generative AI models have also been fed with a very large amount of information or Data(books, images, music, etc.). For example, when ChatGPT was being trained, it read millions of texts to understand how to respond in conversations.
Generative AI can create new things. The artist makes that new painting based on what you described. Similarly,Ai models like DALL·E can generate amazing images from a simple text prompt.Likewise, other Ai models such as DALL·E can create the most complex images from a text input. For example, you could tell it to “Make a picture of a robot preparing food in a kitchen,” and out of the existing knowledge database, it will generate a very pleasant picture.
. REAL LIFE APPLICATIONS:
TEXT Generating AI Models : For example if you tell Chatgpt to tell you a story about a dragon and a princess, it is going to tell you an entirely new story based on what it has been fed , based on the millions of stories it has about dragons and princesses, Think of it like having a conversation with a storyteller who knows all fairy tales and can mix them up in new, creative ways. To entertain you.
Image Generating AI Models : imagine you told an Image generative AI model like DALL·E a prompt to generate an image of a laptop with wings, you’re going to get an entirely new image that never existed before , it’s just like telling the artist to draw something totally random that you’ve never seen before, and they do it perfectly based on your description. The result is something that feels both familiar (Laptops , wings) and completely new.
Why It’s Important:
Helps People Create: You don’t need to be a trained artist, writer, or musician to create something amazing. If you’re not good at drawing, you can use DALL·E to bring your ideas to life.
Boosts Creativity: If you’re stuck with work, generative AI can help spark ideas. It’s like having a creative friend who never runs out of ideas
So next you make a prompt and get a response , take some time to think about the complex processes that are going on behind the scenes to bring you that response
Meet you On the next one, You can write down your thoughts in the comment section